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--- |
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language: |
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- nl |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- hf-asr-leaderboard |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium nl - GeoffVdr |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: mozilla-foundation/common_voice_11_0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: nl |
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split: test |
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args: nl |
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metrics: |
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- name: Wer |
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type: wer |
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value: 7.514 |
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co2_eq_emissions: |
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emissions: 2930 |
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source: https://mlco2.github.io/impact/ |
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training_type: fine-tuning |
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geographical_location: Ghent, Belgium |
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hardware_used: 1 v100 GPU |
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--- |
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# Whisper Medium nl - GeoffVdr |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset. |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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- Training: Mozilla CommonVoice 11 Dutch train+validation set |
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- Evaluation: Mozilla CommonVoice 11 Dutch test set |
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## Training procedure |
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## Training Hyperparameters |
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- learning_rate: 1e-5 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- gradient_accumulation_steps: 2 |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 12000 |
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## Training Results |
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| Training Loss | Epoch | Step | WER | |
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|:-------------:|:-----:|:----:|:----:| |
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| 0.1111 | 0.39 | 1000 | 9.89 | |
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| 0.0884 | 0.78 | 2000 | 9.26 | |
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| 0.0362 | 1.17 | 3000 | 8.64 | |
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| 0.0359 | 1.56 | 4000 | 8.60 | |
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| 0.0375 | 1.95 | 5000 | 8.24 | |
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: |
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: |
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| 0.0015 | 4.68 | 12000| 7.51 | |
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### Framework versions |
